bhaettasch / videt

Visualizing Datasets of Ecological Trends

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videt -- Vizualising Datasets of Ecological Trend

a collaborative project of Hacking Ecology, a collective for open data, open source and citizen science that helps us avert the sixth mass extinction.

videt visualizes open datasets of processes that might have an influence on ecosystem functioning. At its core, it uses bokeh and allows users to interactively choose datasets to show.

Usage

As there is no online version of videt yet, users need to clone the repo, cd into the videt folder and then run

bokeh serve ./ --show

Structure

As required by Bokeh, main.py is the index file that points to the other features of videt. scripts/plotting_tab.py contains the code for the GUI and all the plotting commands, scripts/info_tab.py creates the second tab of videt. scripts/datasets.py contains the code that loads the datasets. If you want to add new datasets they need to inherit from timeseries_dataset and implement all the fields and functions of it; please see to the other datasets already implemented for reference. Currently, config/ contains a single config file that indicates the datasets implemented and the arguments relevant for them.

To-Do's

Improve everything you want. Work on the todos in the code. Implement new datasets. Thank you very much in advance.

(incomplete) List of Datasets to implement

-- Geographic Time Series --

Land-cover change https://catalog.data.gov/dataset/historical-land-cover-change-and-land-use-conversions-global-dataset (Need to convert from map (netCDF) to simple numbers)

Sea Ice thickness https://climatedataguide.ucar.edu/climate-data/sea-ice-thickness-data-sets-overview-comparison-table

Soil moisture https://climatedataguide.ucar.edu/climate-data/soil-moisture-data-sets-overview-comparison-tables

Ocean Acidification http://portal.goa-on.org/

-- Anthropogenic stuff --

Heat flux https://springernature.figshare.com/collections/A_new_global_gridded_anthropogenic_heat_flux_dataset_with_high_spatial_resolution_and_long-term_series/4182824

CO2 emissions https://www.icos-cp.eu/GCP/2018

Anthropogenic Biomes https://sedac.ciesin.columbia.edu/data/collection/anthromes/sets/browse

Population http://www.sustainableworld.com/data/pop_main.html

SDG progress https://sdg-tracker.org/

Economy -- IMF https://www.imf.org/en/Data

Economy -- World Bank https://databank.worldbank.org/databases.aspx

Urbanization, fertilizer use, times of agriculture...

-- Biological time series --

BioTIME http://biotime.st-andrews.ac.uk/downloadArea.php (Many separate studies for different regions; no API, AFAIK)

IUCN Red List of endangered species https://apiv3.iucnredlist.org/api/v3/docs (API needs token)

Vegetation index (MODIS NDVI) https://icdc.cen.uni-hamburg.de/1/daten/land/modis-vegetationindex.html access is restricted

Global vegetation https://lpdaac.usgs.gov/products/vcf5kyrv001/

Ocean acidification biological responses http://oa-icc.ipsl.fr/

-- Weather/Climate time series --

DWD http://opendata.dwd.de/ (Temp. access already implemented, but chosse the right file(s)!)

Cloud Data https://climserv.ipsl.polytechnique.fr/gewexca/index-2.html

Temperature https://climatedataguide.ucar.edu/climate-data/global-temperature-data-sets-overview-comparison-table

Different athmospheric reanalyses https://climatedataguide.ucar.edu/climate-data/atmospheric-reanalysis-overview-comparison-tables

-- Others / Collections --

https://lpdaac.usgs.gov/product_search/

UN data https://data.un.org/

https://datacatalog.worldbank.org/harvest-source/indicators-api

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Visualizing Datasets of Ecological Trends

License:GNU Affero General Public License v3.0


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